Professor Hyung Jin Koh’s Consumer Science Laboratory Wins 

“Director of the Financial Security Institute Award” 

at the Financial Services Commission D-Testbed with 

“Voice Phishing Detection AI”

▲ (From left) Seung Jun Roh, Undergraduate Research Student; Sujeong Moon, Master’s Student; Professor Hyung Jin Koh, Department of Consumer Science

Seung Jun Roh, an undergraduate research student (Department of Applied Artificial Intelligence), and Sujeong Moon, a master’s student (Department of Consumer Science), both members of Professor Hyung Jin Koh’s Consumer Science Laboratory, achieved outstanding results in the “2025 D-Testbed” program hosted by the Financial Services Commission and the Korea Fintech Support Center, winning the Excellence Award, the Director of the Financial Security Institute Award.

The competition is a demonstration program that provides high-quality financial data and analytical environments to verify innovative ideas in the financial sector prior to their application to actual business operations or policy implementation. Out of a total of 40 participating teams, only six were selected as outstanding teams through a rigorous performance evaluation process. The achievement is particularly significant in that a university research team composed of undergraduate and master’s students received recognition for both technological capability and social value amid strong participation from companies actively operating in the financial industry.

The award-winning team, advised by Professor Hyung Jin Koh, proposed a “Voice Phishing Detection AI Model Based on Behavioral Pattern Data.” To overcome the limitations of existing rule-based detection methods, the team designed a model that enables AI to detect voice phishing in real time by comparatively analyzing financial consumers’ long-term and short-term transaction patterns. Empirical results showed that derived variables from long- and short-term transaction patterns demonstrated statistically significant predictive power for voice phishing detection, confirming that the proposed design contributed to improved detection performance.

The study further revealed that financially vulnerable groups, such as older adults and women, face a higher risk of becoming targets of voice phishing crimes. The research team demonstrated that detection accuracy can be dramatically improved by simultaneously considering key demographic variables, including age and gender, as well as interaction effects between these variables and other factors.

Professor Hyung Jin Koh of the Department of Consumer Science, who supervised the students, stated, “This award represents the outcome of interdisciplinary research in which undergraduate and graduate students formed a team to address real-world financial issues using AI technology.” He added, “Building on this achievement, our laboratory will continue to pursue leading research in the field of Financial AI Agents that support and protect financial consumers’ decision-making.”

Meanwhile, Professor Hyung Jin Koh’s Consumer Science Laboratory conducts research on advanced financial technologies, including financial artificial intelligence, fintech, and Financial AI Agents, through the convergence of finance, AI, and consumer science. The laboratory focuses on cultivating practice-oriented interdisciplinary talent by enabling students to take the lead in research projects and solve real-world financial problems using data and AI.